Literature Review

Let's talk about robotics in nursingHealth Leaders; by G Hatfield; 3/2/26... CNOs who want to incorporate robotics into nursing workflows must focus on adapting care models and staffing to maintain quality and continuity. According to Wills, staffing models may shift towards stronger roles in pre-admission testing, nurse navigation, virtual check-ins, and ambulatory recovery support. "I think CNOs need to think beyond the walls of the hospital, and this means redesigning care models that emphasize preoperative education, care coordination, and postoperative discharge follow-ups," Wills said.Editor's Note: Is this a wave of the future? Typically, hospice organization's join healthcare's technology later rather than sooner. Values of "humanity," "empathy," and "compassion" take precedence. This article is posted for your awareness. What are potential settings? Uses? Pro's and con's? Implications for care with persons experiencing dementia? More questions abound.

AI in healthcare needs system-level execution, not task automation Becker's Health IT; by Aditya Bansod; 2/18/26 Healthcare is investing in AI. But most operating models haven’t changed. Health systems have long had more manual work to do than staff to perform it. Now, these health systems are rapidly adopting AI under the promise that it will take on more autonomous work and deliver outcomes at a greater scale than their previous digital initiatives. They’re piloting chatbots, deploying AI phone agents, testing predictive models, and moving clinical documentation to AI assistants. Yet in many organizations, the core operating structure remains reactive. ...

Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review British Medical Journal (BMJ) Supportive & Palliative Care; by Abdullah Alabbasi, Muhanad Alzahrani, Faris Sultan and Mohammed Sayes; 2/18/26 Results: ... Preliminary qualitative work indicates that AI-generated summaries may assist communication among healthcare teams, though concerns persist regarding transparency, bias and over-reliance on algorithms. Conclusions: AI-driven prognostic models show promise in improving risk identification and facilitating earlier engagement with palliative care. Nonetheless, the current evidence base is preliminary. Future research should include prospective trials and strengthened ethical frameworks to ensure that the integration of AI-based prognostic tools into end-of-life decision-making is both safe and equitable. 

Generative artificial intelligence in palliative care: A comparative evaluation of ChatGPT-4o and ChatGPT-5 as clinical decision support tools Digital Health; by Emre Vuraloglu, Kervansaray; 1/29/26 Conclusions: ChatGPT-5 demonstrated measurable improvements over ChatGPT-4o in key domains of palliative care symptom management, while maintaining consistently high ethical sensitivity. These findings provide the first systematic evidence of the potential of generative AI, with the updated ChatGPT-5 model released in August 2025, as a complementary and reliable clinical decision support tool in palliative care.

Not all AI is created equal Access Newswire, Hamden, CT: Press Release; 1/22/26 Not all AI in home health and hospice is created equal. Many AI solutions appear similar at first glance. They promise efficiency and reduced administrative burden. What separates them is the depth of industry knowledge behind the technology. That distinction matters. In other words, there is a big difference between a healthcare company creating technology and a tech company breaking into the healthcare industry. People matter in home health and hospice. That includes the people who make the tools you use. 

How to build an AI-augmented workforce: The CIO's guide TechTarget; by Kinza Yasar; 1/5/26 As artificial intelligence (AI) reshapes industries, forward-thinking CIOs are shifting their strategies from automation-first to augmentation-first. Their goal is to equip employees with AI tools that strengthen their judgment, spark creativity and boost productivity. In an AI-augmented workforce, humans and AI systems work collaboratively, not competitively. Rather than replacing employees, AI is used to enhance human capabilities, automate routine tasks and provide insights that help people make more informed decisions and focus on higher-value work. 

How businesses can empower employees to unlock AI’s true potential Training; by Sandra Loughlin, PhD; 1/6/26 When ChatGPT launched in November 2022, it began one of the most significant technological disruptions in the past several decades, on par with the Internet and personal computers.  ...  However, amid this AI gold rush, many business leaders failed to realize that they were sitting on one of the technology’s most powerful enablers (and barriers): people.

How to work clinically and ethically with chatbots and AI Medscape; by Arthur L. Caplan, PhD; 12/30/25 Hi. I’m Art Caplan. I’m at the Division of Medical Ethics at NYU Grossman School of Medicine in New York City. I’m getting an interesting question from many doctors from different specialties, and also from more primary care people. How do I work clinically and ethically with chatbots and artificial intelligence? They’re not asking about making appointments or handling data behind the scenes. They want to know, in dealing with patients, how do I do this and do this right? ...

Artificial Intelligence at CMSCMS webpage; 12/19/25At CMS, Artificial Intelligence (AI) has the power to reshape the way we use data to make decisions. Given CMS' vast data resources, we have an unprecedented opportunity to drive innovation, boost productivity, and enhance service delivery through AI. This website conveys CMS' resolve to strategically leverage AI in alignment with Federal and agency values.

Health systems shun black-box AI, choose human-validated models for safety and accuracy, survey finds Complete AI Training; 12/17/25 Hospitals and health systems are clear: AI should work with clinicians, not replace them. A new November 2025 market survey from Reaction Data, commissioned by Carta Healthcare, shows strong preference for "hybrid intelligence" - AI paired with clinical oversight - for safer, more reliable outcomes. The message is consistent across findings. Fully autonomous, black-box AI is viewed as risky and insufficient for high-stakes clinical use. Human validation and clinician involvement are seen as essential for accuracy, safety, and adoption.

Q&A: What is the relationship between AI and clinical informatics? CDW Healthcare; by Jordan Scott; 12/8/25 ... Health systems are seeking ways to address workflow inefficiencies with artificial intelligence, but if those tools aren’t implemented with a deep understanding of existing workflows and IT environments, then they aren’t likely to succeed. Clinical informaticists are well versed in health IT implementation and the change management required to ensure buy-in and adoption. HealthTech spoke with Murielle Beene, senior vice president and chief health informatics officer at Trinity Health — a large, not-for-profit health system with 92 hospitals across 25 states — about how AI is changing the field of clinical informatics. 

Still complaining about compliance? Attackers love hearing that Forbes - Innovation - Cybersecurity; by Emil Sayegh; 12/1/25 Across industries, compliance frameworks are often misunderstood. Executives see cost. IT teams see checklists. Owners see audits, findings corrective actions. Whether it is NIST 800-171, CMMC, HIPAA, PCI DSS, ISO 27001 or SOC 2, the reaction is predictable. Another requirement. Another deadline. Another disruption. But the truth is that these frameworks have saved companies from ruin. They have reduced breach costs, protected consumers and patients, stabilized industries and prevented the collapse of trust systems that modern life depends on.